Photos | Standing Ovation at Coachella
Danny Romero entertains a massive crowd during his electrifying deejay performance at Coachella Weekend 2, Day 1 in 2013. The Empire Polo Club is lit up by the speakers, spotlights, and the energy of the audience. Gonzalo Pérez de Vargas joins him on stage, making it a night to remember.
BLIP-2 Description:
a man standing on stage with a large crowdMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
weekend urban auditorium rekognition_c recreation night music glasses footwear hall coachella deejay theater school entertainer staff concert building stage lighting electronics shoe back day classroom room speakers music romero rock spotlight gonzalo pérez de vargas pro performance architecture speaker life hat light danny audience accessories indoors crowd part
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(31.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.83%)
harmonious color
(-0.74%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-46.07%)
intrusive object presence
(-13.72%)
lively color
(-28.27%)
low light
(76.27%)
noise
(-2.86%)
pleasant camera tilt
(-13.64%)
pleasant composition
(-86.04%)
pleasant lighting
(-51.81%)
pleasant pattern
(8.69%)
pleasant perspective
(-7.59%)
pleasant post processing
(-0.62%)
pleasant reflection
(-1.28%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.12%)
tastefully blurred
(-23.14%)
well chosen subject
(13.98%)
well framed subject
(-69.29%)
well timed shot
(7.21%)
all
(-8.50%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.